Hyperspectral Unmixing of Agricultural Images taken from UAV Using Adapted U-Net Architecture

Vytautas Paura; Virginijus Marcinkevičius

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arXiv · 2409.19701

Hyperspectral Unmixing of Agricultural Images taken from UAV Using Adapted U-Net Architecture

Vytautas Paura·Virginijus Marcinkevičius

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Abstract

The hyperspectral unmixing method is an algorithm that extracts material (usually called endmember) data from hyperspectral data cube pixels along with their abundances. Due to a lower spatial resolution of hyperspectral sensors data in each of the pixels may contain mixed information from multiple endmembers. In this paper we create a hyperspectral unmixing dataset, created from blueberry field data gathered by a hyperspectral camera mounted on a UAV. We also propose a hyperspectral unmixing algorithm based on U-Net network architecture to achieve more accurate unmixing results on existing and newly created hyperspectral unmixing datasets.

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Vytautas Paura, Virginijus Marcinkevičius. 2024-09-29. Hyperspectral Unmixing of Agricultural Images taken from UAV Using Adapted U-Net Architecture. https://arxiv.org/abs/2409.19701

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